Liam Magee1, Delphine Bellarose1, Anjali Sharma1, Louise Crabtree1, Philippa Collin1, Justine Humphry1, Paul James1, Emma Kearney1, Tanya Notley1, Amanda Third1, Samantha Yorke2
1. Western Sydney University
2. Google Australia
The Digital Capacities Index is a pilot survey instrument developed by researchers at Western Sydney University and Google Australia. The survey was administered by Pure Profile in Febuary 2016.
We included a total of 158 items measuring (a) frequency of various online behaviour, (b) levels of agreement with statements about digital capacities, (c) perceived importance of online activities and (d) ease of use of digital technologies.
We further distinguished questions into the following key thematic areas, or what we have termed, following James (2014), ‘critical issues’. These issues are:
These four issues were distilled from a list of nine issues that also included Engagement, Inclusion, Policy Environment, Infrastructure and Consequences.
Against these four issues, we selected items and scales from existing sources in the literature where possible. In particular we drew from ‘Kids Online’ (Livingstone et al. 2010), Helsper’s (2012) ‘Corresponding fields model’, a study by Humphry (2014) of mobile use among homeless populations, and indicators compiled by the Young and Well CRC. Other indicators were developed by the Digital Capacities Index team.
A large number of candidate scales were distilled down to the current list after two day-long workshops, and testing of the survey.
The survey included a total of 2,157 participants. We requested the survey provider provide a panel in terms of age groups, gender and geographic regions. As the panel provider recruited participants online, our pilot sample is expected to be skewed towards Australian citizens and families with comparatively high digital capacities. This caveat is signficant to the interpretation of our results below.
Participant ages ranged from 18 to 91, with a median value of 45.
Figure 1 provides more detailed age demographics:
Figure 1: Age Frequency
These show participants’ ages correspond approximately to Australia’s adult demographic. 44.2% of participants were aged 35-54.
Participant gender is roughly evenly distributed. The survey included 1,105 (51%) women; 1,048 (49%) men; and 4 (0.19%) identifying as ‘Other’.
Gender demographics are distributed, as show in Figure 2:
Figure 2: Gender Frequency
Combined age and gender demographics are distributed as per *Figure 3:
Figure 3: Age & Gender Frequency
These figures approximate to Australia’s adult age distribution, as reported by the ABS in 2014 in cf(“age.gender.freq.abs”) below, though with a considerably higher skew towards younger women and older men.
fig_nums(“age.gender.freq.abs”)
Participants are distributed by state as follows:
The split of participants between urban and regional/rural is as follows:
Our survey asked participants to respond to two questions about competencies:
Frequency of online activity measures frequency of 15 different activities, ranging from highly common activities such as sending email through to less common activities (in 2016), such as writing blogs.
The graph below shows the relative frequencies of each activity. Using the Internet generally (for work, study, and for personal use), sending email and social networking are the most common activities. Streaming music, playing games with others, sharing media and writing blogs or diaries are comparatively uncommon activities.
Helsper, Ellen. 2012. “A Corresponding Fields Model for the Links Between Social and Digital Exclusion.” Communication Theory 22 (4). Wiley Online Library: 403–26.
Humphry, Justine. 2014. “The Importance of Circumstance: Digital Access and Affordability for People Experiencing Homelessness.” Australian Journal of Telecommunications and the Digital Economy 2 (3). Telecommunications Association: 55.
James, Paul. 2014. Urban Sustainability in Theory and Practice: Circles of Sustainability. Routledge.
Livingstone, Sonia, Leslie Haddon, Anke Görzig, and Kjartan Ólafsson. 2010. “Risks and Safety on the Internet: The Perspective of European Children: Key Findings from the EU Kids Online Survey of 9-16 Year Olds and Their Parents in 25 Countries.” EU Kids Online.
Social Connectedness
Maintaining connections
Attitudes towards Technology